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Energy-Efficient In-Memory Database Computing

The efficient and flexible management of large datasets is one of the core requirements of modern business applications. Having access to consistent and up-to-date information is the foundation for operational, tactical, and strategic decision making. Within the last few years, the database community sparked a large number of extremely innovative research projects to push the envelope in the context of modern database system architectures. In this paper, we outline requirements and influencing factors to identify some of the hot research topics in database management systems. We argue that—even after 30 years of active database research—the time is right to rethink some of the core architectural principles and come up with novel approaches to meet the requirements of the next decades in data management. The sheer number of diverse and novel (e.g., scientific) application areas, the existence of modern hardware capabilities, and the need of large data centers to become more energy-efficient will be the drivers for database research in the years to come.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:26937
Date January 2013
CreatorsLehner, Wolfgang
PublisherTechnische Universität Dresden
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typedoc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text
SourceDesign, Automation & Test in Europe Conference & Exhibition (DATE), Grenoble, France, 19-22 March, 2013, pp. 470-474, ISBN: 978-1-4673-5071-6
Rightsinfo:eu-repo/semantics/openAccess
Relation10.7873/DATE.2013.105

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